Pith. sign in

Paper Citation Record · LEDGER

PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.01943.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2202.01943 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:49:35.566552Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T20:49:37.573225Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0c760541-3443-49a1-87ea-9dfb77f5da48 · inbound

B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling cites this paper.

B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:49:37.619307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:49:35.566552Z digest=sha256:f8a6fca68e15e40cb8c8c112be641df4d25bde4d979900d5b9da66f43a82c98b

Observation be03a5c2-b598-46b2-8ba8-9fd89a12b5ef · inbound

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers cites this paper.

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T06:09:01.344971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:09:01.344971Z digest=sha256:b4af268f2f48f660f9f14491c6d48041c973e89a21417cc30d180a44f1eb23d8